Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Конфирматорный факторный анализ (КФА)× | Надежность при повторном тестировании (Test-Retest Reliability)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1969 | 1904 |
| Автор метода≠ | Karl Gustav Jöreskog | Karl Pearson |
| Тип≠ | Hypothesis-testing latent variable model | Reliability estimate |
| Основополагающий источник≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| Другие названия | CFA, confirmatory FA, measurement model, restricted factor analysis | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| Связанные | 4 | 4 |
| Сводка≠ | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
| ScholarGateНабор данных ↗ |
|
|